Machine Learning Engineer

Xsolla Inc.; Montreal; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading company in the gaming industry is searching for a Machine Learning Engineer to lead diverse projects that deliver actionable insights and collaborate with various teams. The role requires expertise in ML frameworks and a passion for translating data into business solutions, with great benefits to support employee well-being.

Benefits

100% company-paid medical, dental, and vision plans

Unlimited Flexible Time Off

Personalized career roadmap

Professional development opportunities

Qualifications

• Strong proficiency in ML frameworks like TensorFlow, PyTorch.
• Experience deploying ML models on AWS, GCP, or Azure.
• Proficient in Python and cloud integration tools.

Responsibilities

• Lead and support multiple Machine Learning projects.
• Oversee Kanban process for ML model development.
• Drive design and architecture of machine learning solutions.

Skills

Machine Learning frameworks

Data preprocessing

Feature engineering

Python

Cloud platforms

Job description

At Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.

Headquartered in Los Angeles, with offices in Berlin, Seoul, and beyond, we partner with industry leaders like Valve, Twitch, and Ubisoft to clear the paths for innovation in gaming. Our global reach spans over 200 geographies, offering more than 700 payment methods in 130+ currencies.

Longevity Opportunity Vision Enjoy the game!

ABOUT YOU

We are seeking a Machine Learning Engineer that is a thinker and a hands-on problem solver who bridges the gap between business and data. You are skilled at translating what are the business constraints, and applying the best models to get the best monetization for our partners. You will collaborate with cross-functional teams including product manager and ad operations to understand requirements, define objectives, and deliver impactful solutions. Adept in statistical modeling, machine learning, and data storytelling, they ensure that insights are not just technically sound but aligned with real-world business needs. While you will have data engineer partners, you are self sufficient and able to develop models end to end and put them into production.

RESPONSIBILITIES

• Leads and supports multiple Machine Learning projects, ensuring alignment with business objectives and data needs.
• Oversees the Kanban process for managing ML model development, deployment, and maintenance.
• Engages in technical discussions both within the company and with external data partners, fostering collaboration and knowledge sharing.
• Drives the design and architecture of machine learning solutions by deeply understanding data usage and identifying opportunities to integrate new data sources.
• Implements emerging technologies and methodologies in machine learning, ensuring state-of-the-art solutions and continuous innovation.
• Mentors and guides junior ML engineers, promoting best practices, scalability, and efficiency in model development.
• Collaborates closely with data engineers and scientists to enhance ML workflows, ensuring models are reliable and production-ready.

REQUIREMENTS

• Strong proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, XGBoost, and deep learning architectures.
• Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using SageMaker, Vertex AI, or Azure ML.
• Familiarity with MLOps practices, including model versioning, CI / CD pipelines for ML (e.g., MLflow, Kubeflow, Airflow), and monitoring deployed models.
• Expertise in data preprocessing and feature engineering, using tools such as Pandas, NumPy, and Apache Spark.
• Strong programming skills in Python (preferred) or Scala, with experience in containerization tools like Docker and Kubernetes.
• Understanding of distributed computing and parallel processing frameworks such as Ray or Dask for scalable ML workloads.
• Experience in deploying ML models to production, optimizing inference latency, and ensuring model robustness in real-world applications.

NICE TO HAVE

• Experience in data pipelines and analytics for video-game development
• Experience in Advertising industry
• Experience in online businesses where transactions happen without human intervention.

Benefits :

We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to [emailprotected] .

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Machine Learning Engineer • Montreal, Montreal (administrative region), Canada